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[PDF] Top 20 Application of an iterative method and an evolutionary algorithm in fuzzy optimization

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Application of an iterative method and an evolutionary algorithm in fuzzy optimization

Application of an iterative method and an evolutionary algorithm in fuzzy optimization

... the fuzzy set theory to solve a class of fuzzy mathematical optimization problems with uncertainties in the objective function and in the set of ...is an ... See full document

15

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

... multi-objective method is to form a composite objective function as the weighted sum of the objectives, where a weight for an objective is proportional to the preference factor assigned to that ... See full document

10

Using the Firefly optimization method to weight an ensemble of rainfall forecasts from the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS)

Using the Firefly optimization method to weight an ensemble of rainfall forecasts from the Brazilian developments on the Regional Atmospheric Modeling System (BRAMS)

... (2008), and is based on the bi- oluminescence process which characterizes ...important application (Luz et ...Colony optimization – ABC, and others), the FY has many advantages over other ... See full document

14

420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

420 FUZZY LINEAR PROGRAMMING: OPTIMIZATION OF AN ELECTRIC CIRCUIT MODEL

... One of the basic references in the area of FLP is due to Bellman and Zadeh ...type of FLP that has been considered for this research is the possibilistic programming, that recognizes ... See full document

16

DANTE - The combination between an ant colony optimization algorithm and a depth search method

DANTE - The combination between an ant colony optimization algorithm and a depth search method

... strategies. In the implemented cases, different possible hybridizations can be thought, like the use of initial solutions via another method than the main one (used many times for instance in ... See full document

6

Image Compression based on DCT and BPSO for MRI and Standard Images

Image Compression based on DCT and BPSO for MRI and Standard Images

... factor of modern telecommunication systems. Image compression is the process of reducing total bits required to represent an image by reducing redundancies while preserving the image quality as much ... See full document

8

 AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS

AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS

... performance of the proposed algorithm is compared with FCA scheme and DCA scheme of deterministic method which always produces the same channel allocation solutions at each ... See full document

6

Optimization of image analysis techniques for quality assessment of whole-wheat breads made with fat replacer

Optimization of image analysis techniques for quality assessment of whole-wheat breads made with fat replacer

... structure of healthy food products, with added dietary fiber and low in calories, is an important factor that contributes to the assessment of quality, which can be quantified by image ... See full document

10

Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

... observed in this study are dependent on the setup, composed of a linear probe with limited bandwidth, and the sample ...sensitivity and accuracy in temperature ...type of tissue ... See full document

10

A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

... Surveys of existing methods for multi-objective problems were presented in Jozefowiez et ...(2008) and Zhou et al. (2011). In Jozefowiez et ...versions of several variants of the ... See full document

14

Design of a micro-irrigation system based on the control volume method

Design of a micro-irrigation system based on the control volume method

... statistics and economics criteria. Since the number of laterals in such a system is large, Bralts et ...emitters and lateral lines into virtual ...cation of the node number reduced the ... See full document

9

Iterative nonlocal total variation regularization method for image restoration.

Iterative nonlocal total variation regularization method for image restoration.

... process, and these steps are all easy to solve. In addition, we propose a nonlocal regularization under the framework of the proposed algorithm using a point-wise local filter parameter, ... See full document

10

Analysis of Structure and Abrasion Resistance of the Metal Composite Based on an Intermetallic FeAl Phase with VC and TiC Precipitates

Analysis of Structure and Abrasion Resistance of the Metal Composite Based on an Intermetallic FeAl Phase with VC and TiC Precipitates

... properties of metals and ceramics. Their low density, high strength and resistance to oxidation, combined with sufficient ductility and fracture toughness, make them an attractive ... See full document

4

Feature Selection via Chaotic Antlion Optimization.

Feature Selection via Chaotic Antlion Optimization.

... found, and so ...mixing and dense periodic orbits, ergodicity and intrinsic sto- chasticity, can be used to adapt this parameter, allowing for the required mix between explora- tion and ... See full document

21

An Improved Bees Algorithm for Real Parameter Optimization

An Improved Bees Algorithm for Real Parameter Optimization

... improvement of the initialization part. In the initialization component, the foragers or searchers fly at random to initial ...location of foragers relative to the optimal resource (target) may ... See full document

17

An evolutionary and ecological

An evolutionary and ecological

... intermedia, occurring as remains in Oligo-Miocene amber in Chiapas, Mexico (Langenheim, 1966) thus indicating a wide northern distribution at this time. Hymenaea ret[r] ... See full document

34

Comput. Appl. Math.  vol.22 número1

Comput. Appl. Math. vol.22 número1

... framework of hydrodynamic ...study of drop expansion in compressible viscous ...integral method for cal- culation of fluid ...viscous and surface tension and its influence ... See full document

21

Robust framework for PET image reconstruction incorporating system and measurement uncertainties.

Robust framework for PET image reconstruction incorporating system and measurement uncertainties.

... robustness and accuracy of the proposed method, and the physical phantom experiment is used to show its efficiency and accuracy for the real world ...errors in system matrix may ... See full document

10

ENVIRONMENTAL VALUATION OF AN ARTIFICIAL LAKE IN BRAZIL: AN APPLICATION OF THE CONTINGENT VALUATION METHOD

ENVIRONMENTAL VALUATION OF AN ARTIFICIAL LAKE IN BRAZIL: AN APPLICATION OF THE CONTINGENT VALUATION METHOD

... from an ecological perspec- tive, was first developed by Dunlap and Liere (1978) through the New Ecologic Paradigm (NEP), a 12-item scale focused on the respondent’s attitudes toward environmental problems ... See full document

12

Recursive MEG and EEG Source Localization

Recursive MEG and EEG Source Localization

... performance of the Source Affine Image Reconstruction (SAFFIRE) algorithm, on Magnetoencephalography (MEG) and Electroencephalography (EEG) simulated ...direction of arrival estimation ... See full document

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